{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "34574712-2e7a-47ee-9f7a-89e221dbd12e",
   "metadata": {},
   "source": [
    "# 项目扩展：根据 Hacker News 生成技术趋势报告\n",
    "\n",
    "GitHubSentinel 项目并不仅针对与单一信息源设计。\n",
    "\n",
    "相反，其模块设计为扩展信息源和生成不同类型报告留下了充足的空间。\n",
    "\n",
    "## HackerNewsClient 设计与实现\n",
    "\n",
    "本教程代码使用 ChatGPT（GPT-4o）生成，并展示了多轮对话结果的代码优化过程。\n",
    "\n",
    "完整对话链接：https://chatgpt.com/share/a1cb2dca-06a6-4258-9038-c7271e22cf77"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72955239-fa22-4bac-bb3f-0a01948c75c0",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "## Prompt\n",
    "\n",
    "生成一段爬取 HackerNews 最新热点的 Python 代码\n",
    "\n",
    "## ChatGPT Response\n",
    "\n",
    "以下是一段使用 Python 爬取 HackerNews 最新热点的代码。此代码使用 `requests` 库进行 HTTP 请求，并使用 `BeautifulSoup` 解析 HTML 来提取热点新闻的标题和链接。\n",
    "\n",
    "```python\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('a', class_='storylink')\n",
    "        title = title_tag.text\n",
    "        link = title_tag['href']\n",
    "        top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    for idx, story in enumerate(stories, start=1):\n",
    "        print(f\"{idx}. {story['title']}\")\n",
    "        print(f\"   Link: {story['link']}\")\n",
    "```\n",
    "\n",
    "### 代码说明：\n",
    "1. **`fetch_hackernews_top_stories` 函数**：发送 HTTP 请求获取 HackerNews 的主页，并使用 `BeautifulSoup` 解析 HTML 内容。\n",
    "2. **`soup.find_all` 方法**：用于查找所有包含新闻的 `tr` 标签，其中类名为 `athing`。\n",
    "3. **提取标题和链接**：从每个新闻项目中提取标题 (`storylink` 类) 和对应的链接，并将这些信息存储在一个字典中。\n",
    "4. **返回值**：返回一个包含新闻标题和链接的字典列表。\n",
    "\n",
    "### 运行代码：\n",
    "运行此代码后，您将获得 HackerNews 最新热点新闻的标题和链接列表，并在控制台输出。\n",
    "\n",
    "确保安装了 `requests` 和 `beautifulsoup4` 库：\n",
    "```bash\n",
    "pip install requests beautifulsoup4\n",
    "```\n",
    "\n",
    "这段代码简单有效地抓取了 HackerNews 网站的热点新闻信息。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fdcc843e-a841-4850-8fb5-3ea37956606c",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'text'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[1], line 22\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m top_stories\n\u001b[1;32m     21\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 22\u001b[0m     stories \u001b[38;5;241m=\u001b[39m \u001b[43mfetch_hackernews_top_stories\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     23\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m idx, story \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(stories, start\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m):\n\u001b[1;32m     24\u001b[0m         \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00midx\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mstory[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n",
      "Cell \u001b[0;32mIn[1], line 15\u001b[0m, in \u001b[0;36mfetch_hackernews_top_stories\u001b[0;34m()\u001b[0m\n\u001b[1;32m     13\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m story \u001b[38;5;129;01min\u001b[39;00m stories:\n\u001b[1;32m     14\u001b[0m     title_tag \u001b[38;5;241m=\u001b[39m story\u001b[38;5;241m.\u001b[39mfind(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m'\u001b[39m, class_\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mstorylink\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m---> 15\u001b[0m     title \u001b[38;5;241m=\u001b[39m \u001b[43mtitle_tag\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtext\u001b[49m\n\u001b[1;32m     16\u001b[0m     link \u001b[38;5;241m=\u001b[39m title_tag[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mhref\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m     17\u001b[0m     top_stories\u001b[38;5;241m.\u001b[39mappend({\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtitle\u001b[39m\u001b[38;5;124m'\u001b[39m: title, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlink\u001b[39m\u001b[38;5;124m'\u001b[39m: link})\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'text'"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('a', class_='storylink')\n",
    "        title = title_tag.text\n",
    "        link = title_tag['href']\n",
    "        top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    for idx, story in enumerate(stories, start=1):\n",
    "        print(f\"{idx}. {story['title']}\")\n",
    "        print(f\"   Link: {story['link']}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c277e45a-1ea6-4641-be89-0c4a3d61f772",
   "metadata": {},
   "source": [
    "## Prompt\n",
    "\n",
    "报错如下：\n",
    "\n",
    "---------------------------------------------------------------------------\n",
    "AttributeError                            Traceback (most recent call last)\n",
    "Cell In[1], line 22\n",
    "     19     return top_stories\n",
    "     21 if __name__ == \"__main__\":\n",
    "---> 22     stories = fetch_hackernews_top_stories()\n",
    "     23     for idx, story in enumerate(stories, start=1):\n",
    "     24         print(f\"{idx}. {story['title']}\")\n",
    "\n",
    "Cell In[1], line 15, in fetch_hackernews_top_stories()\n",
    "     13 for story in stories:\n",
    "     14     title_tag = story.find('a', class_='storylink')\n",
    "---> 15     title = title_tag.text\n",
    "     16     link = title_tag['href']\n",
    "     17     top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "AttributeError: 'NoneType' object has no attribute 'text'\n",
    "\n",
    "-------------------------------------------------\n",
    "给你一些参考信息和建议：\n",
    "- 使用联网功能查看Hacker News（https://news.ycombinator.com/）网站，并分析其前端代码，获取数据结构。\n",
    "- 如果无法获取其前端代码，可以查看附件： Hacker News html 离线文件\n",
    "\n",
    "## ChatGPT Response\n",
    "\n",
    "从上传的 Hacker News HTML 文件来看，HTML 结构与初始代码中的假设略有不同。特别是新闻标题链接的类名是 `titleline` 而不是 `storylink`，这导致之前的代码无法正确提取标题。因此，以下是修正后的代码示例：\n",
    "\n",
    "```python\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('a', class_='titleline')\n",
    "        if title_tag:\n",
    "            title = title_tag.text\n",
    "            link = title_tag['href']\n",
    "            top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    for idx, story in enumerate(stories, start=1):\n",
    "        print(f\"{idx}. {story['title']}\")\n",
    "        print(f\"   Link: {story['link']}\")\n",
    "```\n",
    "\n",
    "### 主要修改点：\n",
    "- 将 `story.find('a', class_='storylink')` 修改为 `story.find('a', class_='titleline')` 来匹配正确的标题链接类。\n",
    "- 添加了对 `title_tag` 的检查，确保它存在后再访问 `.text` 和 `.href` 属性，以防止 `NoneType` 错误。\n",
    "\n",
    "### 运行结果：\n",
    "此代码将正确输出 Hacker News 最新热点的标题和链接。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "642cc1ee-5764-484a-a3ea-299611a30e78",
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('a', class_='titleline')\n",
    "        if title_tag:\n",
    "            title = title_tag.text\n",
    "            link = title_tag['href']\n",
    "            top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    for idx, story in enumerate(stories, start=1):\n",
    "        print(f\"{idx}. {story['title']}\")\n",
    "        print(f\"   Link: {story['link']}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b12cb3f-d973-43f3-81f7-3c1d42af0372",
   "metadata": {},
   "source": [
    "## Prompt\n",
    "\n",
    "执行后，没有任何输出\n",
    "\n",
    "## ChatGPT Response\n",
    "\n",
    "如果执行后没有任何输出，可能是因为 HTML 结构中 `tr` 标签的类名或其他元素的结构发生了变化。我们可以通过更仔细地检查 HTML 结构来调整代码。根据你提供的文件，应该改用以下方法来提取标题和链接。\n",
    "\n",
    "这里是一个更新后的版本，它确保正确提取所有新闻标题和链接：\n",
    "\n",
    "```python\n",
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    # 查找包含新闻的所有 <tr> 标签\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('span', class_='titleline').find('a')\n",
    "        if title_tag:\n",
    "            title = title_tag.text\n",
    "            link = title_tag['href']\n",
    "            top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    if stories:\n",
    "        for idx, story in enumerate(stories, start=1):\n",
    "            print(f\"{idx}. {story['title']}\")\n",
    "            print(f\"   Link: {story['link']}\")\n",
    "    else:\n",
    "        print(\"No stories found.\")\n",
    "```\n",
    "\n",
    "### 主要修改点：\n",
    "1. **查找标题和链接**：通过查找 `<span>` 标签类名为 `titleline`，然后查找 `<a>` 标签来获取新闻的标题和链接。\n",
    "2. **输出检查**：增加了一个检查，如果未找到任何新闻，则输出 \"No stories found.\"\n",
    "\n",
    "### 检查输出：\n",
    "运行此代码后，如果 HTML 结构匹配，应该可以看到新闻标题和链接。如果仍然没有输出，请确保代码执行环境可以访问 Hacker News 网站，或者确保解析的 HTML 结构与实际的网站结构一致。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b63e7f38-1a0e-4271-85cc-29c17584c78d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1. Strandbeest\n",
      "   Link: https://www.strandbeest.com/\n",
      "2. Ask HN: What are you working on (August 2024)?\n",
      "   Link: item?id=41342017\n",
      "3. Defenders think in lists, attackers think in graphs (2015)\n",
      "   Link: https://github.com/JohnLaTwC/Shared/blob/master/Defenders%20think%20in%20lists.%20Attackers%20think%20in%20graphs.%20As%20long%20as%20this%20is%20true%2C%20attackers%20win.md\n",
      "4. Postgres as a Search Engine\n",
      "   Link: https://anyblockers.com/posts/postgres-as-a-search-engine\n",
      "5. A World Split Apart (1978)\n",
      "   Link: https://www.solzhenitsyncenter.org/a-world-split-apart\n",
      "6. Modern Wardriving\n",
      "   Link: https://simonroses.com/2023/12/modern-wardriving/\n",
      "7. Neurotechnology numbers worth knowing (2022)\n",
      "   Link: https://milan.cvitkovic.net/writing/neurotechnology_numbers_worth_knowing/\n",
      "8. Degrees of Kevin Bacon Using Postgres\n",
      "   Link: https://www.crunchydata.com/blog/six-degrees-of-kevin-bacon-postgres-style\n",
      "9. You are not dumb, you just lack the prerequisites\n",
      "   Link: https://lelouch.dev/blog/you-are-probably-not-dumb/\n",
      "10. Sticker on caption phone says that using the captions can be illegal. Why?\n",
      "   Link: https://law.stackexchange.com/questions/104642/sticker-on-caption-phone-says-that-using-the-captions-can-be-illegal-why\n",
      "11. AMD's Radeon 890M: Strix Point's Bigger iGPU\n",
      "   Link: https://chipsandcheese.com/2024/08/24/amds-radeon-890m-strix-points-bigger-igpu/\n",
      "12. Consistently Making Wrong Decisions Whilst Writing Recreational C\n",
      "   Link: https://amodernist.com/texts/fun-c.html\n",
      "13. A 4096 channel event-based multielectrode array with asynchronous outputs\n",
      "   Link: https://www.nature.com/articles/s41467-024-50783-2\n",
      "14. Generating Mazes\n",
      "   Link: https://healeycodes.com/generating-mazes\n",
      "15. Papersway – a scrollable window management for Sway/i3wm\n",
      "   Link: https://spwhitton.name/tech/code/papersway/\n",
      "16. The Treacherous Optimization (2006)\n",
      "   Link: https://ridiculousfish.com/blog/posts/old-age-and-treachery.html\n",
      "17. Transferring energy from nitrogen to argon enables 2-way cascaded lasing in air\n",
      "   Link: https://phys.org/news/2024-08-mechanism-energy-nitrogen-argon-enables.html\n",
      "18. Ruby's official documentation just got a new look\n",
      "   Link: https://docs.ruby-lang.org/en/master/\n",
      "19. Serpent OS Prealpha0 Released\n",
      "   Link: https://serpentos.com/blog/2024/08/01/serpent-os-prealpha0-released/\n",
      "20. Show HN: Visualize database schemas with a single query\n",
      "   Link: https://github.com/chartdb/chartdb\n",
      "21. Anthropic Claude 3.5 can create icalendar files, so I did this\n",
      "   Link: https://gregsramblings.com/stupid-but-useful-ai-tricks-creating-calendar-entries-from-an-image-using-anthropic-claude-35\n",
      "22. Show HN: Cursor AI Rules Directory (Open Source)\n",
      "   Link: https://cursor.directory\n",
      "23. Shell.how: Explain Shell Commands\n",
      "   Link: https://www.shell.how\n",
      "24. Hot Page – a graphical site builder\n",
      "   Link: https://hot.page/\n",
      "25. Small Strings in Rust: smolstr vs. smartstring\n",
      "   Link: https://fasterthanli.me/articles/small-strings-in-rust\n",
      "26. Show HN: Permify 1.0 – Open-source fine-grained authorization service\n",
      "   Link: https://github.com/Permify/permify\n",
      "27. Birds aren't real – how to create your own \"bird\"\n",
      "   Link: https://www.lampysecurity.com/post/birds-aren-t-real-how-to-create-your-own-bird\n",
      "28. Julius: Open-source reimplementation of Caesar III\n",
      "   Link: https://github.com/bvschaik/julius\n",
      "29. \"YOLO\" is not a valid hash construction\n",
      "   Link: https://blog.trailofbits.com/2024/08/21/yolo-is-not-a-valid-hash-construction/\n",
      "30. Techniques for safe garbage collection in Rust\n",
      "   Link: https://kyju.org/blog/rust-safe-garbage-collection/\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "\n",
    "def fetch_hackernews_top_stories():\n",
    "    url = 'https://news.ycombinator.com/'\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()  # 检查请求是否成功\n",
    "\n",
    "    soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    # 查找包含新闻的所有 <tr> 标签\n",
    "    stories = soup.find_all('tr', class_='athing')\n",
    "\n",
    "    top_stories = []\n",
    "    for story in stories:\n",
    "        title_tag = story.find('span', class_='titleline').find('a')\n",
    "        if title_tag:\n",
    "            title = title_tag.text\n",
    "            link = title_tag['href']\n",
    "            top_stories.append({'title': title, 'link': link})\n",
    "\n",
    "    return top_stories\n",
    "\n",
    "if __name__ == \"__main__\":\n",
    "    stories = fetch_hackernews_top_stories()\n",
    "    if stories:\n",
    "        for idx, story in enumerate(stories, start=1):\n",
    "            print(f\"{idx}. {story['title']}\")\n",
    "            print(f\"   Link: {story['link']}\")\n",
    "    else:\n",
    "        print(\"No stories found.\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "359abdfb-92fa-4349-8530-9ba1624026ef",
   "metadata": {},
   "source": [
    "## 趋势报告生成设计与实现\n",
    "\n",
    "**使用 OpenAI Playground 来测试和优化 Hacker News 趋势报告 Prompt。**\n",
    "\n",
    "Playground 测试链接：https://platform.openai.com/playground/p/WxNyR3sxUk5NeXILvaMCVyc1?model=undefined&mode=chat\n",
    "\n",
    "### 实践成就 ChatGPT 大师\n",
    "\n",
    "![chatgpt_master](images/chatgpt_master.jpg)\n",
    "\n",
    "\n",
    "### 抛砖引玉的 Prompt\n",
    "\n",
    "```\n",
    "你是一个关注 Hacker News 的技术专家，擅于洞察技术热点和发展趋势。\n",
    "\n",
    "任务：\n",
    "根据你收到的 Hacker News Top List，分析和总结当前技术圈讨论的热点，不超过5条。\n",
    "\n",
    "格式：\n",
    "# Hacker News 技术洞察\n",
    "\n",
    "## 时间：{当天日期}\n",
    "\n",
    "## 技术前沿趋势与热点话题\n",
    "\n",
    "1. **个人项目与创作**：许多用户在 \"Ask HN\" 讨论中分享了他们正在进行的项目，这凸显了开发者界对个人创作及创业的持续热情。\n",
    "\n",
    "2. **网络安全思考**：有关于“防守者和攻击者思考方式”的讨论引发了对网络安全策略的深入思考。这种对比强调防守与攻击之间的心理与技术差异，表明网络安全领域对攻击者策略的关注日益增加。\n",
    "```\n",
    "\n",
    "### GPT-4o-mini API Response\n",
    "\n",
    "```\n",
    "# Hacker News 技术洞察\n",
    "\n",
    "## 时间：2024年8月24日\n",
    "\n",
    "## 技术前沿趋势与热点话题\n",
    "\n",
    "1. **个人项目与创作**：在“Ask HN”中，用户积极分享他们的项目和创作。这种氛围表明，开发者社区对于自我表达和创业的热情依然高涨。\n",
    "\n",
    "2. **网络安全新思维**：讨论“防守者与攻击者思维方式”的主题引发了广泛关注。这种差异化思维强调了对网络安全的深层理解，表明行业对创新安全策略的需求持续增加。\n",
    "\n",
    "3. **神经科技的进展**：有关于神经科技的文章分享了数字化和量化发展数据，提示技术圈关注这一快速发展的领域，尤其是在医疗和增强人类能力方面的应用潜力。\n",
    "\n",
    "4. **开源项目的兴起**：如 Serpent OS 和 Jules 等开源项目吸引了技术社区的注意，反映了开源软件在推动技术创新和开发者合作方面的重要性。\n",
    "\n",
    "5. **Rust 编程语言的讨论**：关于 Rust 的多个讨论，尤其是关于小字符串处理和安全垃圾回收技术的文章，显示出 Rust 语言在现代编程中的应用迅速增长，开发者对其性能和安全特性的兴趣不断上升。\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4dbd5723-2652-45e9-869d-d59f93c0d65e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "de0561c4-2b45-411e-ba0a-17b8a12949cb",
   "metadata": {},
   "source": [
    "## Homework: 在 GitHubSentinel v0.5 基础上，扩展实现 Hacker News 趋势报告生成。\n",
    "\n",
    "### 实现优先级：Daemon（Required） > Graido > Command"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d395e03e-cdc6-4aaa-a0ce-114ccab85be0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b280e52a-9588-470d-9b7c-1e044c6ccfdc",
   "metadata": {},
   "outputs": [],
   "source": []
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